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https://hdl.handle.net/10356/10002Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Soh, Amos Sheng En. | en_US |
| dc.contributor.author | Lin, Isaac Jia Xin. | en_US |
| dc.contributor.author | Ng, Alwyn Liang You. | en_US |
| dc.date.accessioned | 2008-09-24T07:38:42Z | - |
| dc.date.available | 2008-09-24T07:38:42Z | - |
| dc.date.copyright | 2006 | en_US |
| dc.date.issued | 2006 | - |
| dc.identifier.uri | http://hdl.handle.net/10356/10002 | - |
| dc.description.abstract | This study examines the use of data mining techniques namely decision tree, neural networks and logistic regression to predict the likelihood of a corporate failure through inputs on companies' financial variables. | en_US |
| dc.rights | Nanyang Technological University | en_US |
| dc.subject | DRNTU::Business::Law::Bankruptcy | - |
| dc.title | Corporate bankruptcy prediction through data mining. | en_US |
| dc.type | Final Year Project (FYP) | en_US |
| dc.contributor.supervisor | Koh, Hian Chye | en_US |
| dc.contributor.school | College of Business (Nanyang Business School) | en_US |
| dc.contributor.supervisor2 | Wu, Yuan | en_US |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| Appears in Collections: | NBS Student Reports (FYP/IA/PA/PI) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NBS-REPORTS_2596.pdf Restricted Access | 279.19 kB | Adobe PDF | View/Open |
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